Evidence map›Paper›PMID 39867932›Full record

SynthesisFrontiers in medicine2024

Study based on bibliometric analysis: potential research trends in fluid management for sepsis.

Sihan Liu, Haoting Pei, Jing Wang, Lujun Qiao, Hao Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sihan LiuDepartment of Critical Care Medicine, Qilu Hospital, Shandong University, Qingdao, China.
Haoting PeiSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Jing WangDepartment of Critical Care Medicine, Qilu Hospital, Shandong University, Qingdao, China.
Lujun QiaoShengli Oilfield Central Hospital, Dongying, China.
Hao WangDepartment of Critical Care Medicine, Qilu Hospital, Shandong University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the potential and evolving trends in fluid management for patients with sepsis, utilizing a bibliometric approach. Methods: Scholarly articles pertaining to fluid therapy for sepsis patients were extracted from the Web of Science (WoS) database as of June 1, 2024. The R software package, "Bibliometrix," was utilized to scrutinize the primary bibliometric attributes and to construct a three-field plot to illustrate the relationships among institutions, nations, and keywords. The VOSviewer tool was employed for author analysis, keyword co-occurrence analysis, and data visualization. Additionally, CiteSpace was used to calculate citation bursts and keywords. Results: A comprehensive retrieval from the Web of Science (WoS) database yielded a total of 2,569 publications. The majority of these articles were predominantly published by two countries, namely the United States (US) and China. Among the myriad of journals, Critical Care and Journal for Intensive Care Medicine emerged as the most prolific. In terms of institutional contribution, the University of California System stood out as the most productive. Recent analysis of keywords revealed a significant citation burst for terms such as "balanced crystalloids" and "critically ill children". Conclusion: There is a growing focus on the connection between fluid management and the treatment of sepsis, with research in this area being at an advanced stage.

Indexed as

bibliometricCiteSpacefluid managementhotspotsR software packagesepsisVOSviewer

Identifiers

PMID39867932
PMCPMC11757251

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.